Statistical techniques for detection of major genes in animal breeding data |
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Authors: | I. Hoeschele |
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Affiliation: | (1) Department of Animal Science, Iowa State University, 50011 Ames, IA, USA;(2) Present address: Department of Dairy Science, Virginia Polytechnic Institute and State University, 24061 Blacksburg, VA, USA |
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Abstract: | ![]() Summary Statistical techniques for detection of major loci and for making inferences about major locus parameters such as genotypic frequencies, effects and gene action from field-collected data are presented. In field data, major genotypic effects are likely to be masked by a large number of environmental differences in addition to additive and nonadditive polygenic effects. A graphical technique and a procedure for discriminating among genetic hypotheses based on a mixed model accounting for all these factors are proposed. The methods are illustrated by using simulated data.Journal Paper No. J-12733 of the Iowa Agriculture and Home Economics Experiment Station, Ames, Iowa. Project No. 1901 |
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Keywords: | Major genes Mixed inheritance Mixture data Normal probability plot Genetic hypotheses |
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